MABU Shingo


MABU Shingo

J-GLOBAL         Last updated: Aug 9, 2019 at 18:06
 
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Name
MABU Shingo
Affiliation
Yamaguchi University
Section
Graduate School of Science and Engineering
Job title
Assistant Professor
Degree
Doctor of Engineering(Waseda University), Master of Engineering(Kyushu University)
Research funding number
70434321

Research Areas

 
 

Academic & Professional Experience

 
2003
 - 
2005
Research Fellow of Japan Society for Promotion of Science
 
2006
 - 
2007
Visiting Lecturer at Advanced Research Institute for Science and Engineering, Waseda University
 
2007
   
 
- Assistant Professor at Graduate School of Information, Production and Systems, Waseda University
 
2009
   
 
- Assistant Professor at Faculty of Science and Engineering, Waseda University
 

Education

 
 
 - 
2006
Information, Production and Systems Engineering, Graduate School of Infomation, Production and Systems, Waseda University
 
 
 - 
2003
Department of Electrical and Electronic Systems Engineering, Graduate School of Information Science and Electrical Engineering, Kyushu University
 
Apr 1997
 - 
Mar 2001
Electrical Engineering and Computer Science, Faculty of Engineering, Kyushu University
 

Committee Memberships

 
 
   
 
IEEE  Member
 
 
   
 
IEEJ  Member
 
 
   
 
SICE  Member
 

Awards & Honors

 
Jan 2019
Analysis of the Effects of Transfer Learning on Opacity Classification of Diffuse Lung Diseases Using Convolutional Neural Network, IFMIA Best Paper Award, IFMIA2019
Winner: Ami Atsumo, Shingo Mabu, Shoji Kido, Yasushi Hirano and Takashi Kuremoto
 
2007
IEEJ Excellent Presentation Award
 
Sep 2007
IEEJ Excellent Paper Award
Winner: Shingo Mabu
 
Jan 2015
Best Paper Award at The 2015 International Conference on Artificial Life and Robotics, International Conference on Artificial Life and Robotics
Winner: Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
 

Published Papers

 
Disaster Area Detection from Synthetic Aperture Radar Images Using Convolutional Autoencoder and One-class SVM
Shingo Mabu, Kohki Fujita, Takashi Kuremoto
Journal of Robotics, Networking and Artificial Life   6(1) 48-51   Jun 2019   [Refereed]
Clinical Applications of Multidisciplinary Computational Anatomy - Progress Overview FY2014-FY2018 -
Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Shingo Mabu, Hyoungseop Kim, Hirohiko Kimura, Sakon Noriki, Kunihiro Inai, Rie Tachibana
Proceedings of the Fifth International Symposium of the Project "Multidisciplinary Computational Anatomy"   203-212   Mar 2019
Data Enhancement of Deep Learning for Thoracic Imaging
Shoji Kido, Yasushi Hirano, Shingo Mabu
The 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA)      Jan 2019   [Refereed]
Unsupervised and Semi-Supervised Learning for Efficient Opacity Annotation of Diffuse Lung Diseases
Shingo Mabu, Shoji Kido, Yasushi Hirano, Takashi Kuremoto
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019   110501D   Mar 2019   [Refereed]
Detection of pulmonary nodules on chest X-ray images using R-CNN
Risa Takemiya, Shoji Kido, Yasushi Hirano, Shingo Mabu
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019   110500W   Mar 2019   [Refereed]
Analysis of the effects of transfer learning on opacity classification of diffuse lung diseases using convolutional neural network
Ami Atsumo, Shingo Mabu, Shoji Kido, Yasushi Hirano, Takashi Kuremoto
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019   1105017   Mar 2019   [Refereed]
Unsupervised Image Classification Using Multi-Autoencoder and K-means++
Shingo Mabu, Kyoichiro Kobayashi, Masanao Obayashi, Takashi Kuremoto
Journal of Robotics, Networking and Artificial Life   5(1) 75-78   Jun 2018   [Refereed]
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information
Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto
Proc. SPIE Medical Imaging 2018: Computer-Aided Diagnosis   10575(34) 1-6   Feb 2018   [Refereed]
Anomaly Detection of Disaster Areas from Satellite Images Using Convolutional Autoencoder and One-class SVM
Kohki Fujita, Shingo Mabu, Takashi Kuremoto
Proceedings of the 2018 International Conference on Artificial Life and Robotics (ICAROB2018)      Feb 2018   [Refereed]
Unsupervised Image Classification Using Multi-Autoencoder and K-means++
Shingo Mabu, Kyoichiro Kobayashi, Masanao Obayashi, Takashi Kuremoto
Proceedings of the 2018 International Conference on Artificial Life and Robotics (ICAROB2018)      Feb 2018   [Refereed]
A Visual System of Citrus Picking Robot Using Convolutional Neural Networks
Yan-Ping Liu, Chang-Hui Yang, Huang Ling, Shingo Mabu, and Takashi Kuremoto
The 2018 5th International Conference on Systems and Informatics   329-332   Nov 2018   [Refereed]
Shanqing Yu, Deng Zhang, Shingo Mabu, Jinyin Chen, Kotaro Hirasawa
Applied Soft Computing Journal   61 757-764   Dec 2017
A Rule-Based Classification System Enhanced by Multi-Objective Genetic Algorithm
Shingo Mabu, Kenzoh Azakami, Masanao Obayashi, Takashi Kuremoto
Journal of Robotics, Networking and Artificial Life   4(3) 239-242   Dec 2017   [Refereed]
A Sentence Summarizer using Recurrent Neural Network and Attention-Based Encoder
Takashi Kuremoto, Takuji Tsuruda, Shingo Mabu and Masanao Obayashi
Advanced in Intelligent Systems Research   153 245-248   Nov 2017   [Refereed]
Wirarama Wedashwara, Shingo Mabu, Candra Ahmadi
2017 5th International Conference on Cyber and IT Service Management, CITSM 2017      Oct 2017
Clinical Applications of Multidisciplinary Computational Anatomy
Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Shingo Mabu, Hyoungseop Kim, Hirohiko Kimura, Sakon Noriki, Kunihiro Inai
Proc. of the Third International Symposium on the Project "Multidisciplinary Computational Anatomy"   155-161   Mar 2017
Leader-Follower Adaptive Formation Control without Observation of Agent's Velocity Using Wavelet Neural Network
Masanao Obayashi, Takeshi Aridome, Takashi Kuremoto, Shingo Mabu
2017 9th International Conference on Machine Learning and Computing (ICMLC2017)   C083   Feb 2017   [Refereed]
An Experimental Comparison of Deep Belief Nets with Different Learning Methods
Takashi Kuremoto, Shintaro Tokuda, Takaomi Hirata, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
2017 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'17)   637-640   Feb 2017   [Refereed]
Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning
Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Proc. of the 2017 International Conference on Artificial Life and Robotics (ICAROB2017)   658-661   Jan 2017   [Refereed]
A Method of Feature Extraction for EEG Signals Recognition Using ROC Curve
Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Proc. of the 2017 International Conference on Artificial Life and Robotics (ICAROB2017)   654-657   Jan 2017   [Refereed]
A Rule-Based Classification System Enhanced by Multi-Objective Genetic Algorithm
Kenzoh Azakami, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Proc. of the 2017 International Conference on Artificial Life and Robotics (ICAROB2017)   650-653   Jan 2017   [Refereed]
Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido
International Journal of Computer Assisted Radiology and Surgery   12(3) 519-528   2017   [Refereed]
RP-AG-SOM: A Growing Self-Organizing Map with Asymmetric Neighborhood Function and Variable Radius
Takashi Kuremoto, Yuya Kuzukami, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
SAI Intelligent Systems Conference   245-252   Sep 2016   [Refereed]
Shingo Mabu, Shun Gotoh, Masanao Obayashi, Takashi Kuremoto
Artificial Life and Robotics   21(3) 371-377   Sep 2016   [Refereed]
An Optimization of Spatio-Spectral Filter Bank Design for EEG Classification
Masanao Obayashi, Takuya Geshi, Takashi Kuremoto, Shingo Mabu
Journal of Robotics, Networking and Artificial Life   2(4) 217-220   Mar 2016   [Refereed]
Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
IEEJ Transactions on Electronics, Information and Systems   136(3) 348-356   Mar 2016   [Refereed]
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Expert Systems with Applications   46 15-23   Mar 2016   [Refereed]
An Evolutionary Algorithm for Making Desicion Graphs for Classification Problems
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Proc. of the 2016 International Conference on Artificial Life and Robotics   458-462   Jan 2016   [Refereed]
An Optimization of Spatio-Spectral Filter Bank Design for EEG Signal Classification
Masanao Obayashi, Takuya Geshi, Takashi Kuremoto, Shingo Mabu
Proc. of the 2016 International Conference on Artificial Life and Robotics   397-400   Jan 2016   [Refereed]
Evolutionary Rule Based Clustering with Fuzzy Feature Selection for High Dimensional Database
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
The Twenty-First International Symposium on Artificial Life and Robotics   142-147   Jan 2016   [Refereed]
An Intrusion Detection System Using Random Forests Based on Class Association Rules
Shun Gotoh, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
The Twenty-First International Symposium on Artificial Life and Robotics   148-153   Jan 2016   [Refereed]
Efficient Reinforcement Learning Using an Adaptive Control of Meta-parameters Based on a Markov Emotional Model
Shogo Wadata, Masanao Obayashi, Takashi Kuremoto, Shingo Mabu
The Twenty-First International Symposium on Artificial Life and Robotics   14-19   Jan 2016   [Refereed]
A Method of Feature Extraction for EEG Signal Recognition
Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Innovative Application Research and Education 2015   67-69   Dec 2015   [Refereed]
An Extended Q Learning System with Emotion State to Make Up and Agent with Individuality
Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
Proceedings of the 7th International Joint Conference on Computational Intelligence   3 70-78   Nov 2015   [Refereed]
Masanao Obayashi, Taiki Yamane, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
International Conference on Neural Information Processing 2015, Part I, LNCS   9489 272-282   Nov 2015   [Refereed]
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Applied Soft Computing   36 357-367   Nov 2015   [Refereed]
Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
2015 International Conference on Computer Application Technologies   24-29   Aug 2015   [Refereed]
Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
SICE Annual Conference 2015   353-358   Jul 2015   [Refereed]
A Class Association Rule Based Classifier Using Probability Density Functions for Intrusion Detection Systems
Shingo Mabu, Wenjing Li, Kotaro Hirasawa
Journal of Advanced Computational Intelligence and Intelligent Informatics   19(4) 555-566   Jul 2015   [Refereed]
Online Rule Updating System Using Evolutionary Computation for Managing Distributed Database
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Journal of Robotics, Networks and Artificial Life   2(2) 73-78   Jul 2015   [Refereed]
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
4th International Congress on Advanced Applied Informatics   517-522   Jul 2015   [Refereed]
Reinforcement Learning with Symbiotic Relationships for Multiagent Environments
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Journal of Robotics, Networks and Artificial Life   2(1) 40-45   Apr 2015   [Refereed]
Shun Watanabe, Takashi Kuremoto, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi
IEEJ Transactions on Electronics, Information and Systems   135(4) 414-422   Apr 2015   [Refereed]
Leader-Following Formation Control with an Adaptive Linear and Terminal Sliding Mode Combined Controller Using Auto-Structuring Fuzzy Neural Network
Masanao Obayashi, Kohei Ishikawa, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
The Seventh International Conference on Advanced Cognitive Technologies and Applications      Mar 2015   [Refereed]
Shun Watanabe, Takashi Kuremoto, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi
IEEJ Transactions on Electronics, Information and Systems   135 414-422   Jan 2015   [Refereed]
Reinforcement Learning with Symbiotic Relationships for Multiagent Environments
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
The 2015 International Conference on Artificial Life and Robotics (ICAROB 2015)   102-106   Jan 2015   [Refereed]
Online Rule Updating System Using Evolutionary Computation for Managing Distributed Database
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
The 2015 International Conference on Artificial Life and Robotics (ICAROB 2015)   98-101   Jan 2015   [Refereed]
Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
Neurocomputing      2015   [Refereed]
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems   624-629   Dec 2014   [Refereed]
A Voice Instruction Learning System using GSOM with Asymmetric Neighborhood Function
Takashi Kuremoto, Yuya Kuzukami, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
Proceedings of Innovative Application Research and Education (ICIARE2014)   72-75   Dec 2014   [Refereed]

Misc

 
間普真吾, 平澤宏太郎
システム/制御/情報   55(11) 480-485   Nov 2011
S. Mabu, Ci Chen, N. Lu, K. Shimada and K. Hirasawa
IEEE Trans. on Systems, Man, and Cybernetics, Part C      2010
Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa and Jinglu Hu
Applied Soft Computing   9(1) 393-403   2009
Genetic Network Programming for Automatic Program Generation
Shingo Mabu, Kotaro Hirasawa, Yuko Matsuya and Jinglu Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics   9(4) 430-436   2005
Evolving Plural Programs Using Genetic Network Programming with Multi-Start Nodes
Shingo Mabu and Kotaro Hirasawa
Proc. of IEEE International Conference on Systems, Man, and Cybernetics   1419-1424   2009
S. Mabu, K. Hirasawa, J. Hu and J. Murata
Proc. of IEEE Congress on Evolutionary Computation 2002   321-326   2002

Books etc

 
Time Series Analysis
Takashi Kuremoto, Takamomi Hirata, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi (Part:Joint Work, Chapter: Training Deep Neural Networks with Reinforcement Learning for Time Series Forecasting)
IntechOpan   Apr 2019   

Conference Activities & Talks

 
Automatic Classification of Respiratory Sounds Based on Time-Frequency Analysis and Convolutional Neural Network
Koki Minami, Huimin Lu, Hyounseop Kim, Yasushi Hirano, Shingo Mabu, Shoji Kido
JAMIT Annual Meeting 2019   24 Jul 2019   
Domain Transformation of Chest CT Images Using Cycle GAN ang Its Application to Classification Systems
Masashi Miyake, Shingo Mabu, Shoji Kido, Takashi Kuremoto, Yasushi Hirano
JAMIT Annual Meeting 2019   24 Jul 2019   
Research trend of deep learning and its applications [Invited]
MABU Shingo
26 Apr 2019   
Landslide Area Detection by U-net with Convolutional Autoencoder Using SAR image ans Land Information
Daisuke Ueda, Shingo Mabu, Takashi Kuremoto
9 Mar 2019   
Lung sound classifier using deep learning
Shingo Mabu, Ryosuke Wakamoto, Shoji Kido, Takashi Kuremoto, Yasushi Hirano
26 Jan 2019   
Landslide Region Detection by Deep Learning with SAR images and Land Information
Daisuke Ueda, Shingo Mabu, Takashi Kuremoto
SICE Symposium on Systems, and Information, 2018   26 Nov 2018   
Lung Sound Classification Using Convolutional Neural Network
Ryosuke Wakamoto, Shingo Mabu, Shoji Kido, Takashi Kuremoto, Yasushi Hirano, Takeo Kawamura
SICE Symposium on Systems, and Information, 2018   26 Nov 2018   
Driving Data Analysis of Hybrid Cars Using Genetic Network Programming
Soichiro Hirata, Shingo Mabu, Minoru Miyakoshi, Shingo Harada, Yasuhide, Yano
SICE Symposium on Systems, and Information, 2018   26 Nov 2018   
Building Classifiers by Semi-supervised Data Mining Using Genetic Network Programming
Takuro Higuchi, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
SICE Symposium on Systems, and Information, 2018   26 Nov 2018   
Fundamentals and Aaplications of AI - Deep Learning Algorithms and their Applications - [Invited]
MABU Shingo
20 Aug 2018   
Machine Learning of Medical Images [Invited]
Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto
The 57th Annual Conference of Japanese Society for Medical and Biological Engineering   21 Jun 2018   
Deep learning and radiomics: From the viewpoint of machine learning theories [Invited]
Shingo Mabu
The 57th Annual Conference of Japanese Society for Medical and Biological Engineering   20 Jun 2018   
Opacity Annotation of Diffuse Lung Diseases Using Convolutional Neural Network and SVM
Takuro HIguchi, Shingo Mabu, Noriaki Hashimoto, Shoji Kido, Yasushi Hirano, Kenji Kondo , Jun Ozawa
The 32nd Annual Conference of the Japanese Society for Artificial Intelligence   8 Jun 2018   
Landslide Detection Using CNN with SAR Images before/after the Disaster and DEM
Daisuke Ueda, Shingo Mabu, Takashi Kuremoto
The 32nd Annual Conference of the Japanese Society for Artificial Intelligence   5 Jun 2018   
Comparison of extraction of diffuse ling disease areas using CNN, FCN and U-Net
Kanako Murakami, Noriaki Hashimoto, Shoji Kido, Yasushi Hirano, Shingo Mabu, Kenji Kondo, Jun Ozawa
The 32nd Annual Conference of the Japanese Society for Artificial Intelligence   4 Jun 2018   
Ensemble Learning Classifier Using Semi-Supervised Data Mining
Takuro Higuchi, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
The 2017 (68th) Chugoku-branch Joint Convention of Institutes of Electrical and Information Engineers   21 Oct 2017   Chugoku-branch of Insititutes of Electrical and Information Engineers
Applications of big data analysis using machine learning [Invited]
Shingo Mabu
IEEE SMC Hiroshima Chapter, Special Lecture   25 Sep 2017   IEEE SMC Hiroshima Chapter
An Investigation of EEG Signal Discrimination Methods with Artificial Neural Networks and Support Vector Machine
Takashi Kuremoto, Takaaki Sasaki, Shingo Mabu
5 Sep 2018   
Iterative Semi-Supervised Learning for Automatic Annotation of Diffuse Lung Diseases Using Deep Autoencoder and SVM
Shingo Mabu, Noriaki Hashimoto, Shoji Kido, Masanao Obayashi, Takashi Kuremoto
Computer Assisted Radiology and Surgery, 32nd International Congress and Exhibition   20 Jun 2017   Computer Assisted Radiology and Surgery
Unsupervised Opacity Annotation of Diffuse Lung Diseases Using Deep Autoencoder and Bag-of-Features
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido
The 4th World Congress of Thoracic Imaging   18 Jun 2017   World Congress of Thoracic Imaging

Association Memberships

 
 

Works

 
Japan Science and technology Agency, Research for Promoting Technological Seeds "Research on Trading Systems on Stock Margets Using Genetic Network Programming"
2007 - 2007

Research Grants & Projects

 
JSPS: JSPS KAKENHI Grant-in-Aid for Scientific Research (C)
Project Year: Apr 2019 - Mar 2022    Investigator(s): MABU Shingo
Knowledge discovery by genetic network programming and its application
Grant-in-Aid for Scientific Research
Project Year: 2009 - 2012